Applied Mathematics

Prof. Nihat Ay (TUHH)
Research interests and expertise
  • Information geometry and its applications to biology
  • Mathematical theory of learning in the context of neural networks, cognitive systems, and robotics
  • Machine learning
  • Graphical models (Bayesian networks) and their applications to causality theory
  • Complexity and information theory
  • Geometric structures in quantum information theory
Potential match-making fields
  • Inverse problems (in particular, in the context of scattering and diffraction patterns)
  • Neuronal representation and inference of physical structures and laws
  • Causal inference
  • Prediction and active inference
Publications

Applied Analysis

Dr. Christian Seifert (TUHH)
Research interests and expertise
  • Applied Functional Analysis
  • Mathematical Physics
  • Partial Differential Equations
  • Evolution Equations
  • Approximation
  • Influence of Randomness
  • Uncertainty Quantification
  • Neural Networks
Potential match-making fields
  • Data Science
  • Machine Learning
Publications

Computational Mathematics

Prof. Sabine Le Borne (TUHH)
Research interests and expertise
  • numerical linear algebra
  • iterative solvers
  • preconditioners
  • rank structured/hierarchical matrices
  • data fitting
  • radial basis functions
Potential match-making fields
  • modeling and simulation with partial differential equations
  • population balance equations
  • multivariate aggregation
Publications
Prof. Daniel Ruprecht (TUHH)
Research interests and expertise
  • omputational mathematics and numerical algorithms
  • high-performance computing
  • parallel-in-time integration methods
  • time-dependent differential equations and initial value problems
  • optimisation
Potential match-making fields
  • modeling and simulation with partial differential equations
  • modelling and simulation with time-dependent differential equations
  • simulations of fast ion trajectories
Publications

Discrete Mathematics

Prof. Anusch Taraz (TUHH)
Research interests and expertise
  • Discrete Mathematics
  • Combinatorial Optimization
  • Random Discrete Structures
  • Randomized Algorithms
  • Probabilistic and Extremal Combinatorics
Potential match-making fields
  • Complex Networks
  • Random Graphs
  • Average-case Analysis of Algorithms
  • Positional Games
Publications

Intelligent Process Control

Dr. Annika Eichler (DESY)
Research interests and expertise
  • control theory
  • feedback controller design for stability and robustness
  • fault diagnosis
  • supervisory control
  • mode predictive control
  • merging data-driven with model-based control and diagnosis techniques
  • reinforcement leaning and dynamic programming
  • distributed control concepts and distributed optimization
Potential match-making fields
  • machine learning
  • data sciences
  • predictive maintenance
  • optimization
  • computer science
Publications

Numerical Mathematics

Prof. Michael Breuer (HSU)
Research interests and expertise
  • fluid mechanics
  • turbulence
  • fluid-structure interaction
  • multiphase flows
  • particle-laden flows
  • computational fluid dynamics
  • large-eddy simulation
  • direct numerical simulation
  • high-performance computing
Potential match-making fields
  • modeling and simulation with partial differential equations
  • numerical algorithms for continuum mechanics and particle tracking
  • multiphysics
  • high-performance computing
Publications
Prof. Armin Iske (UHH)
Research interests and expertise
  • Approximation theory and algorithms for mathematical data analysis
  • Kernel-based multivariate scattered data approximation
  • Meshfree methods for partial differential equations
  • Geometrical methods in dimensionality reduction
Potential match-making fields
  • Applications of particle methods in fluid flow simulation
  • Mathematical signal processing
  • Adaptive approximation for sparse data representations
Publications
 
Dr. Jens-Peter Zemke (TUHH)
Research interests and expertise
  • numerical linear algebra
  • Krylov subspace methods
  • eigenvalue problems
  • perturbation theory
  • round-off error analysis
Potential match-making fields
  • structure and symmetries
  • initialization and training of neural networks
  • fast implementation of numerical schemes
  • optimization and regularization
Publications

Optimization and Approximation

Prof. Christina Brandt (UHH)
Research interests and expertise
  • inverse problems
  • regularization methods (in particular variational regularization)
  • convex optimization
  • tomographic applications
  • imaging
  • magnetic particle imaging
Potential match-making fields
  • Inverse problems: denoising, deconvolution problems, phase retrieval etc.
  • Parameter identification
Publications

Probability Theory and Mathematical Statistics

Prof. Mathias Trabs (UHH)
Research interests and expertise
  • mathematical statistics,
    • especially high-dimensional and non-parametric statistics and statistics for stochastic processes
  • stochastic processes,
    • especially stochastic (partial) differential equations and Lévy processes
Potential match-making fields
  • applications of stochastic processes and machine learning
Publications